@inproceedings{c6bcf2e6cc4c415197054b80e519e576,
title = "Target Identity Probability Analysis for Multi-Target Tracking",
abstract = "This paper proposes a novel target identity probability analysis algorithm for multi-target tracking (MTT) problems. By introducing a target identity probability matrix, finding the identity probability is converted into the problem of target-to-target association. The issue in solving the equivalent problem is that the computational complexity increases exponentially with the increase of the problem size. We propose a Gibbs sampling approach to find approximate polynomial-time solutions. Theoretical analysis reveals that the proposed algorithm provides a performance-guaranteed approximation. Numerical simulations are conducted to support the analytical findings.",
keywords = "Information-Driven Joint Probabilistic Data Association, Multi-Target Tracking, Target Identity Probability",
author = "Shaoming He and Shin, {Hyo Sang} and Antonios Tsourdos",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 35th Chinese Control and Decision Conference, CCDC 2023 ; Conference date: 20-05-2023 Through 22-05-2023",
year = "2023",
doi = "10.1109/CCDC58219.2023.10327038",
language = "English",
series = "Proceedings of the 35th Chinese Control and Decision Conference, CCDC 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2459--2465",
booktitle = "Proceedings of the 35th Chinese Control and Decision Conference, CCDC 2023",
address = "United States",
}